Results 51 to 60 of about 31,155,536 (302)
Position Control of Cable-Driven Robotic Soft Arm Based on Deep Reinforcement Learning
The cable-driven soft arm is mostly made of soft material; it is difficult to control because of the material characteristics, so the traditional robot arm modeling and control methods cannot be directly applied to the soft robot arm.
Qiuxuan Wu +8 more
doaj +1 more source
Corpus tools are known to be effective in helping L2 learners improve their writing, especially regarding their use of words. Most corpus-based L2 writing research has focused on university students while little attention has been paid to secondary ...
Fang Liuqin, Ma Qing, Yan Jiahao
doaj +1 more source
Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization [PDF]
Developing data-driven models has found successful applications in varying engineering problems. In capacitive devices like deionization and supercapacitors, there exists a potential to apply this data-driven machine learning (ML) model in optimizing it ...
Revati, Kumar +2 more
core +2 more sources
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Parallel corpus in analysing Czech spoken expressions and their equivalents in English, French, and Polish [PDF]
This paper uses corpus data to analyse spoken expressions and discourse markers in Czech, applying these findings to corpus-based exercises for learners of Czech as a foreign language.
Adrian Jan Zasina
doaj +1 more source
Data-Driven Learning and Language Pedagogy [PDF]
Language corpora have many uses in language study, including for learners and other users of foreign languages in an approach that has come to be known as data-driven learning (DDL). This boils down to the learner's ability to find answers to their questions by using software to access large collections of authentic texts relevant to their needs, as ...
openaire +2 more sources
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Data-driven school improvement linking data and learning /
Titre de l'écran-titre (visionné le 31 jan. 2012)Comprend des réf. bibliogr. et un index.Data-driven decision making : an introduction / Ellen B. Mandinach & Margaret Honey -- A conceptual framework for data-driven decision making / Ellen B.
Mandinach, Ellen Beth. +2 more
core +1 more source
This study demonstrates that machine learning from seismograms, obtained from commonly deployed seismometers, can identify the early stages of slope failure in the field.
David Murray +6 more
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source

